Mplus VERSION 8.3
MUTHEN & MUTHEN
12/18/2024   3:29 PM

INPUT INSTRUCTIONS

  TITLE:LPA
  DATA:FILE IS C:\Users\72833\Desktop\Y.dat;
  VARIABLE:NAMES ARE Y1-Y19;
           USEVARIABLES ARE Y1-Y19;
           CLASSES = c(1);
  ANALYSIS: TYPE = MIXTURE;
  OUTPUT: TECH11 TECH14;
  SAVEDATA:File = 1class.txt;
           SAVE = CPROB;

  plot:
  type = plot3;
  series = Y1-Y19(*);



*** WARNING in MODEL command
  All variables are uncorrelated with all other variables within class.
  Check that this is what is intended.
*** WARNING in OUTPUT command
  TECH11 option is not available for TYPE=MIXTURE with only one class.
  Request for TECH11 is ignored.
*** WARNING in OUTPUT command
  TECH14 option is not available for TYPE=MIXTURE with only one class.
  Request for TECH14 is ignored.
   3 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS



LPA

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         347

Number of dependent variables                                   19
Number of independent variables                                  0
Number of continuous latent variables                            0
Number of categorical latent variables                           1

Observed dependent variables

  Continuous
   Y1          Y2          Y3          Y4          Y5          Y6
   Y7          Y8          Y9          Y10         Y11         Y12
   Y13         Y14         Y15         Y16         Y17         Y18
   Y19

Categorical latent variables
   C


Estimator                                                      MLR
Information matrix                                        OBSERVED
Optimization Specifications for the Quasi-Newton Algorithm for
Continuous Outcomes
  Maximum number of iterations                                 100
  Convergence criterion                                  0.100D-05
Optimization Specifications for the EM Algorithm
  Maximum number of iterations                                 500
  Convergence criteria
    Loglikelihood change                                 0.100D-06
    Relative loglikelihood change                        0.100D-06
    Derivative                                           0.100D-05
Optimization Specifications for the M step of the EM Algorithm for
Categorical Latent variables
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-05
  Basis for M step termination                           ITERATION
Optimization Specifications for the M step of the EM Algorithm for
Censored, Binary or Ordered Categorical (Ordinal), Unordered
Categorical (Nominal) and Count Outcomes
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-05
  Basis for M step termination                           ITERATION
  Maximum value for logit thresholds                            15
  Minimum value for logit thresholds                           -15
  Minimum expected cell size for chi-square              0.100D-01
Optimization algorithm                                         EMA

Input data file(s)
  C:\Users\72833\Desktop\Y.dat
Input data format  FREE



UNIVARIATE SAMPLE STATISTICS


     UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS

         Variable/         Mean/     Skewness/   Minimum/ % with                Percentiles
        Sample Size      Variance    Kurtosis    Maximum  Min/Max      20%/60%    40%/80%    Median

     Y1                    3.790      -0.842       1.000    0.86%       3.000      4.000      4.000
             347.000       0.633       1.000       5.000   13.83%       4.000      4.000
     Y2                    3.824      -0.667       2.000    3.46%       3.000      4.000      4.000
             347.000       0.398       1.103       5.000    9.22%       4.000      4.000
     Y3                    3.994      -1.025       1.000    1.15%       4.000      4.000      4.000
             347.000       0.559       2.408       5.000   21.61%       4.000      5.000
     Y4                    3.677      -0.939       1.000    1.15%       3.000      4.000      4.000
             347.000       0.599       1.139       5.000    8.07%       4.000      4.000
     Y5                    4.069      -0.782       1.000    0.29%       4.000      4.000      4.000
             347.000       0.554       1.085       5.000   27.09%       4.000      5.000
     Y6                    3.677      -0.650       1.000    0.58%       3.000      4.000      4.000
             347.000       0.536       0.737       5.000    8.36%       4.000      4.000
     Y7                    3.793      -0.688       1.000    0.58%       3.000      4.000      4.000
             347.000       0.568       0.892       5.000   13.26%       4.000      4.000
     Y8                    3.847      -1.031       1.000    1.15%       3.000      4.000      4.000
             347.000       0.481       2.762       5.000   11.82%       4.000      4.000
     Y9                    4.000      -0.497       2.000    2.59%       4.000      4.000      4.000
             347.000       0.461       0.633       5.000   20.46%       4.000      5.000
     Y10                   3.942      -0.733       1.000    0.58%       4.000      4.000      4.000
             347.000       0.469       1.840       5.000   17.00%       4.000      4.000
     Y11                   3.548      -0.423       1.000    1.73%       3.000      3.000      4.000
             347.000       0.876      -0.261       5.000   13.54%       4.000      4.000
     Y12                   3.916      -0.357       2.000    1.73%       3.000      4.000      4.000
             347.000       0.394       0.628       5.000   14.12%       4.000      4.000
     Y13                   3.513      -0.476       1.000    1.44%       3.000      3.000      4.000
             347.000       0.826      -0.265       5.000   10.37%       4.000      4.000
     Y14                   3.769      -0.537       2.000    3.75%       3.000      4.000      4.000
             347.000       0.425       0.606       5.000    8.65%       4.000      4.000
     Y15                   3.793      -0.555       2.000    5.48%       3.000      4.000      4.000
             347.000       0.516       0.418       5.000   12.10%       4.000      4.000
     Y16                   3.637      -0.170       1.000    0.29%       3.000      3.000      4.000
             347.000       0.571      -0.067       5.000   10.95%       4.000      4.000
     Y17                   3.683      -0.068       1.000    0.29%       3.000      4.000      4.000
             347.000       0.493       0.044       5.000   10.66%       4.000      4.000
     Y18                   3.769      -0.421       1.000    0.58%       3.000      4.000      4.000
             347.000       0.500       0.778       5.000   12.10%       4.000      4.000
     Y19                   3.573      -0.115       1.000    0.58%       3.000      3.000      4.000
             347.000       0.706      -0.288       5.000   13.26%       4.000      4.000


THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       38

Loglikelihood

          H0 Value                       -7343.357
          H0 Scaling Correction Factor      1.1999
            for MLR

Information Criteria

          Akaike (AIC)                   14762.715
          Bayesian (BIC)                 14908.989
          Sample-Size Adjusted BIC       14788.441
            (n* = (n + 2) / 24)



FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL

    Latent
   Classes

       1        347.00000          1.00000


FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES

    Latent
   Classes

       1        347.00000          1.00000


FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP

Class Counts and Proportions

    Latent
   Classes

       1              347          1.00000


Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)

           1

    1   1.000


Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)

           1

    1   1.000


Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)

              1

    1      0.000


MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

Latent Class 1

 Means
    Y1                 3.790      0.043     88.729      0.000
    Y2                 3.824      0.034    112.849      0.000
    Y3                 3.994      0.040     99.512      0.000
    Y4                 3.677      0.042     88.507      0.000
    Y5                 4.069      0.040    101.812      0.000
    Y6                 3.677      0.039     93.599      0.000
    Y7                 3.793      0.040     93.747      0.000
    Y8                 3.847      0.037    103.335      0.000
    Y9                 4.000      0.036    109.731      0.000
    Y10                3.942      0.037    107.200      0.000
    Y11                3.548      0.050     70.607      0.000
    Y12                3.916      0.034    116.287      0.000
    Y13                3.513      0.049     71.994      0.000
    Y14                3.769      0.035    107.679      0.000
    Y15                3.793      0.039     98.346      0.000
    Y16                3.637      0.041     89.630      0.000
    Y17                3.683      0.038     97.694      0.000
    Y18                3.769      0.038     99.286      0.000
    Y19                3.573      0.045     79.241      0.000

 Variances
    Y1                 0.633      0.059     10.754      0.000
    Y2                 0.398      0.038     10.574      0.000
    Y3                 0.559      0.063      8.872      0.000
    Y4                 0.599      0.057     10.515      0.000
    Y5                 0.554      0.052     10.606      0.000
    Y6                 0.536      0.048     11.260      0.000
    Y7                 0.568      0.052     10.953      0.000
    Y8                 0.481      0.056      8.536      0.000
    Y9                 0.461      0.040     11.481      0.000
    Y10                0.469      0.049      9.506      0.000
    Y11                0.876      0.062     14.124      0.000
    Y12                0.394      0.034     11.490      0.000
    Y13                0.826      0.058     14.142      0.000
    Y14                0.425      0.037     11.538      0.000
    Y15                0.516      0.043     11.980      0.000
    Y16                0.571      0.043     13.398      0.000
    Y17                0.493      0.038     13.029      0.000
    Y18                0.500      0.045     11.176      0.000
    Y19                0.706      0.050     14.235      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.584E-02
       (ratio of smallest to largest eigenvalue)


PLOT INFORMATION

The following plots are available:

  Histograms (sample values)
  Scatterplots (sample values)
  Sample means
  Estimated means, medians, modes, and percentiles
  Sample and estimated means
  Observed individual values
  Estimated means and observed individual values
  Estimated overall and class-specific distributions

SAVEDATA INFORMATION


  Save file
    1class.txt

  Order and format of variables

    Y1             F10.3
    Y2             F10.3
    Y3             F10.3
    Y4             F10.3
    Y5             F10.3
    Y6             F10.3
    Y7             F10.3
    Y8             F10.3
    Y9             F10.3
    Y10            F10.3
    Y11            F10.3
    Y12            F10.3
    Y13            F10.3
    Y14            F10.3
    Y15            F10.3
    Y16            F10.3
    Y17            F10.3
    Y18            F10.3
    Y19            F10.3
    CPROB1         F10.3
    C              F10.3

  Save file format
    21F10.3

  Save file record length    10000


DIAGRAM INFORMATION

  Mplus diagrams are currently not available for Mixture analysis.
  No diagram output was produced.


     Beginning Time:  15:29:27
        Ending Time:  15:29:27
       Elapsed Time:  00:00:00



MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA  90066

Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com

Copyright (c) 1998-2019 Muthen & Muthen
